Making Lab Data Interoperable: The “I” in FAIR Data Principles
You’ve found your data (Findable) and ensured secure access (Accessible), but can your lab systems actually talk to each other? That’s the challenge of Interoperability, the third of the four FAIR data principles.
Interoperability means that data can be read, interpreted, and reused by different systems, applications, and organizations without manual intervention. In a lab setting, it’s what allows instruments, software platforms, and collaborators to exchange information seamlessly.
Instead of exporting spreadsheets, reformatting files, translating column headers, or re-entering data by hand, labs that implement interoperability can avoid trapping data in technical silos and allow data to flow between systems.
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